基于多元Copula函数的光-火-氢多晶硅园区优化配置

OPTIMAL CONFIGURATION OF PV-FIRE-HYDROGEN POLYSILICON PARK BASED ON MULTIVARIATE COPULA FUNCTION

针对多晶硅园区的供能特点和低碳需求,引入光伏制氢,优化传统多晶硅园区能源系统。利用多元Copula函数表征“光-电-氢”源荷相关性,结合系统各耦合环节及生产流程,构建光-火-氢多晶硅园区双层优化配置模型。上层是以园区设备投运成本最优为目标的规划模型,下层是以系统综合运行成本最低为目标的低碳调度模型,通过迭代,确定设备最优容量。以新疆某多晶硅园区为算例,验证了配置结果的有效性,可为多晶硅园区的低碳改造及经济运行提供理论支撑。

In response to the energy supply characteristics and low carbon demand of polysilicon park,we introduced photovoltaic hydrogen production is introduced to optimize the traditional polysilicon park energy system.The multivariate Copula function is used to characterize the source-load correlation of"PV-electricity-hydrogen",and the two-layer optimization model of PV-fire-hydrogen polysilicon park is constructed by combining the coupling links and production processes of the system.The upper layer is a planning model aiming at the optimal cost of equipment operation in the park,and the lower layer is a low-carbon scheduling model aiming at the lowest overall operating cost of the system,and the optimal capacity of the equipment is determined through iteration.Taking a polysilicon park in Xinjiang as an arithmetic example,the validity of the configuration results is verified,providing theoretical support for the low-carbon transformation and economic operation of the polysilicon park.